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Learner Reviews & Feedback for Fundamentals of Quantitative Modeling by University of Pennsylvania

4.6
stars
7,945 ratings
1,531 reviews

About the Course

How can you put data to work for you? Specifically, how can numbers in a spreadsheet tell us about present and past business activities, and how can we use them to forecast the future? The answer is in building quantitative models, and this course is designed to help you understand the fundamentals of this critical, foundational, business skill. Through a series of short lectures, demonstrations, and assignments, you’ll learn the key ideas and process of quantitative modeling so that you can begin to create your own models for your own business or enterprise. By the end of this course, you will have seen a variety of practical commonly used quantitative models as well as the building blocks that will allow you to start structuring your own models. These building blocks will be put to use in the other courses in this Specialization....

Top reviews

AP

Jun 15, 2019

Very clear and articulate explanation of the concepts. He doesn't skip a step in the sequencing ideas, drawing comparisons and differences, and illustrating both visually and story-telling. Excellent.

S

Nov 30, 2020

for the beginer like me i have experience in banking of 8 years still for me this fundamentals are new specially quantitative modelling.Kindly provide banking related examples in here too.\n\nthanks

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501 - 525 of 1,510 Reviews for Fundamentals of Quantitative Modeling

By Ayush C

May 20, 2020

The Course gave an insight on the fundamentals, with easy to relate examples.

By Saraphine P

Aug 18, 2017

Nice refresher of statistics learned in college. Covered all the main points.

By Alexander T

Apr 10, 2020

Very convenient and understandable narration by the professor! A good course

By Humberto L C

Feb 17, 2020

Excellent course!

It is very well explained, and the content is very helpful.

By Claudio B

Sep 5, 2019

Clearly explained, with the right emphasis and a great time listening to it!

By NIDHI M

Aug 16, 2019

THE SUBJECT WERE EXPLAINED VERY CLEARLY. AND HENCE IT WAS EASY TO UNDERSTAND

By David v D

Feb 8, 2019

Good fundamental course in modeling, very clear explanations by the lecturer

By Emmanuel O B

Sep 7, 2017

A big thank you to Professor Waterman and the Coursera team. Well done guys!

By Lin W

Jun 13, 2017

Really helpful course that offers solid detail about these useful functions.

By Mariam G

Jun 1, 2020

A nice course, really useful. I liked the materials and the way of thought.

By Olivia E

May 13, 2020

Excellent course. Really clear explanations & quizzes helped with learning.

By akshat b

Jan 2, 2020

Very helpful!! It was detailed and accurately sequenced. Highly Recommended

By G S y

Dec 29, 2019

thank you....it really helped me to learn more about quantitative modeling.

By Shrey O

Jun 4, 2020

Excellent Course. Must do for any aspiring business/finance professionals.

By Arshish K

Jan 19, 2020

Essential fundamentals of modelling, taught simply and quite exhaustively.

By Javier A

Nov 29, 2019

Clear, concise and easy to understand. Well designed for internet learning

By Ivan C

Aug 21, 2018

Great basic terms to further develop. Great starting point for CFA Level 2

By Pedro A R M

Sep 27, 2017

It´s perfect when you´re finding to grow up at bussiness worth. So useful.

By Juhi M

Aug 19, 2017

It is a great course to get hands on experience different types of models.

By #MARK C R

Jan 28, 2022

Great intro to statistical modelling, look forward to rest of the course!

By Ardian F

May 3, 2020

Good theory explanation with relatable example with industry or business.

By Orlando D

Sep 30, 2019

Great, clear and easy to understand modules for every background students

By John C

Feb 8, 2018

Very good. Covers the basics thoroughly and in easily digestible lessons.

By Ribeiro D

Dec 12, 2017

Really good course. Each module is well explained with concrete examples.

By Manuel

Jun 11, 2017

Excellent and concise introduction to various functions useful in models.